Boise State’s online faculty are leading research efforts in online education and the Online Education Research Symposium will showcase four important funded projects from the 2023-24 eCampus Center Research Fellowship program. These projects, which focus on online educational research, seek to improve student success by examining the impact of accessibility, artificial intelligence, machine learning and ePortfolios on credit for prior learning.
The Online Education Research Symposium is a unique opportunity to engage with online faculty’s cutting-edge research. The eCampus Center invites Boise State students, staff and faculty to participate in this virtual event. Take advantage of the chance to gain insights into the latest advancements in online education research and contribute to the ongoing discussion about the future of online learning.
Register
10:30 a.m.-12:30 p.m. Mountain Time
Friday, Oct. 11, 2024
Register for the Symposium
Project presentations
The symposium will begin with an opening address by Provost Buckwalter, who will discuss the future of online programs at Boise State. Following this, each project team will present their research questions, findings and implications, offering valuable insights into the changing landscape of online education.
Baker Lawley, Clinical Associate Professor, Interdisciplinary Professional Studies and Bachelor of Applied Science
Lawley is exploring student learning and sentiment after completing their ePortfolios and how this high-impact strategy contributes to a transformative experience. This research focuses on credit for prior learning students, particularly those who are more nontraditional.
Patrick Lowenthal, Professor in Educational Technology and Innovation Faculty Associate, eCampus Center
Lowenthal’s innovative study focuses on faculty perceptions of accessibility tools like Ally. By combining analytics with qualitative data, he seeks to understand faculty needs, provide professional development, and enhance online course accessibility at Boise State. This research may pave the way for a more inclusive online educational environment.
Andy Hung and Kerry Rice, Professors in Educational Technology
Hung and Rice will leverage analytics, machine learning, and AI to obtain profound insights into online student engagement trends. By pinpointing when online students disengage, they plan to design personalized interventions for positive outcomes. Their research stands to bring about transformative changes in identifying and responding to online student needs and learning patterns.
Brian Stone, Associate Professor, Department of Psychology
Stone seeks to innovate instructional practices across disciplines by exploring the frontier of AI-supported student learning in online courses. Aligning with Bloom’s taxonomy, he will create pedagogical strategies that instructors can apply at various levels. Stone’s research promises to culminate in an open educational resource, offering an invaluable asset to educators everywhere.
Steven Hyde, Assistant Professor of Management, Department of Management
Hyde is investigating the dual pathways through which artificial intelligence impacts learning outcomes in higher education. Using a mixed-methods approach, he explores how students’ perceptions of AI influence its effectiveness as a learning tool and subsequent academic performance. By examining AI reactance, perceived autonomy, and ethical considerations, Hyde’s research provides insights for educators on effectively integrating AI in educational settings while addressing student concerns.